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There has been much recent interest in genetic improvement of programs. However, genetic improvement has yet to scale beyond toy laboratory programs. We seek to overcome this scalability barrier. We evolved a widely-used and highly complex 50000 line system, seeking improved versions that are faster than the original, yet at least as good semantically. Our approach found a version that is 70 times faster (on average) and is also a small semantic improvement on the original.